2013Mathematical theory and modelingRequires access

On the Stability Analysis of a Geometric Mean Order Runge-Kutta Formula

Agbeboh Goddy Ujagbe

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Abstract

In the solution of non-stiff initial-value problems, sometimes stepsize is restricted by stability rather than by accuracy. Just as solutions to differential equations evolve with time, so do numerical approximations progress in small time steps. In each step an error is made and it is important to keep these errors small. But the error caused in one time-step may have an effect on the accuracy of later steps. It may be more important to control the buildup of errors as it is to control the size of the errors themselves. In numerical analysis the smallness of the individual errors is called accuracy and the ability to keep the effect of errors under control is called stability. Physical systems give rise to system of ordinary differential equations with widely varying eigenvalues resulting precisely to the concept of stiffness. This paper seek to establish the region of absolute stability of a special 4 th Runge-Kutta formula first derived and implemented in Agbeboh et al (2007) . Keywords: Absolute Stability, geometric mean, one-third 4 th order Runge-Kutta formula and boundary locus .

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In the solution of non-stiff initial-value problems, sometimes stepsize is restricted by stability rather than by accuracy. Just as solutions to differential equations evolve with time, so do numerical approximations progress in small time steps. In each step an error is made and it is important to keep these errors small. But the error caused in one time-step may have an effect on the accuracy of later steps. It may be more important to control the buildup of errors as it is to control the size of the errors themselves. In numerical analysis the smallness of the individual errors is called accuracy and the ability to keep the effect of errors under control is called stability. Physical systems give rise to system of ordinary differential equations with widely varying eigenvalues resulting precisely to the concept of stiffness. This paper seek to establish the region of absolute stability of a special 4 th Runge-Kutta formula first derived and implemented in Agbeboh et al (2007) . Keywords: Absolute Stability, geometric mean, one-third 4 th order Runge-Kutta formula and boundary locus .

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Available abstract

In the solution of non-stiff initial-value problems, sometimes stepsize is restricted by stability rather than by accuracy. Just as solutions to differential equations evolve with time, so do numerical approximations progress in small time steps. In each step an error is made and it is important to keep these errors small. But the error caused in one time-step may have an effect on the accuracy of later steps. It may be more important to control the buildup of errors as it is to control the size of the errors themselves. In numerical analysis the smallness of the individual errors is called accuracy and the ability to keep the effect of errors under control is called stability. Physical systems give rise to system of ordinary differential equations with widely varying eigenvalues resulting precisely to the concept of stiffness. This paper seek to establish the region of absolute stability of a special 4 th Runge-Kutta formula first derived and implemented in Agbeboh et al (2007) . Keywords: Absolute Stability, geometric mean, one-third 4 th order Runge-Kutta formula and boundary locus .

Key concepts: Runge–Kutta methods, Mathematics, Stability (learning theory), Ordinary differential equation, Eigenvalues and eigenvectors, Applied mathematics, Differential equation, Mathematical analysis

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